DCMI

Author:

Koraei Mostafa1,Fatemi Omid2,Jahre Magnus3ORCID

Affiliation:

1. University of Tehran, Iran and Norwegian University of Science and Technology, Trondheim, Norway

2. University of Tehran, Iran

3. Norwegian University of Science and Technology, Trondheim, Norway

Abstract

Iterative Stencil Loops (ISLs) are the key kernel within a range of compute-intensive applications. To accelerate ISLs with Field Programmable Gate Arrays, it is critical to exploit parallelism (1) among elements within the same iteration and (2) across loop iterations. We propose a novel ISL acceleration scheme called Direct Computation of Multiple Iterations (DCMI) that improves upon prior work by pre-computing the effective stencil coefficients after a number of iterations at design time—resulting in accelerators that use minimal on-chip memory and avoid redundant computation. This enables DCMI to improve throughput by up to 7.7× compared to the state-of-the-art cone-based architecture.

Funder

Horizon 2020 Framework Programme

Publisher

Association for Computing Machinery (ACM)

Subject

Hardware and Architecture,Information Systems,Software

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. DHTS: A Dynamic Hybrid Tiling Strategy for Optimizing Stencil Computation on GPUs;IEEE Transactions on Computers;2023-10

2. TurboStencil: You only compute once for stencil computation;Future Generation Computer Systems;2023-09

3. FAWS: FPGA Acceleration of Large-Scale Wave Simulations;2023 IEEE 34th International Conference on Application-specific Systems, Architectures and Processors (ASAP);2023-07

4. SPARTA: Spatial Acceleration for Efficient and Scalable Horizontal Diffusion Weather Stencil Computation;Proceedings of the 37th International Conference on Supercomputing;2023-06-21

5. Near-optimal multi-accelerator architectures for predictive maintenance at the edge;Future Generation Computer Systems;2023-03

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